Motion Recruitment Partners, LLC
Motion Recruitment Partners, LLC

Google Cloud Platform Data Engineer

Charlotte, NC, US • Posted 2 days ago • Updated 6 hours ago
Contract W2
On-site
$63.13 - $71.13/hr
Fitment

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Job Details

Skills

  • Financial Services
  • Finance
  • Training
  • Military
  • Python
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • Vector Databases
  • Semantic Search
  • Cloud Computing
  • Amazon SageMaker
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Vertex
  • Machine Learning Operations (ML Ops)
  • Software Engineering
  • Evaluation
  • Regulatory Compliance
  • Collaboration
  • Prompt Engineering
  • Generative Artificial Intelligence (AI)
  • Web Applications
  • Workflow
  • Artificial Intelligence
  • Microsoft Certified Professional

Summary

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Google Cloud Platform Data Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months Required Skills & Experience
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow).
  • Hands on experience using session and memory for building multi-agent systems along with using MCP tools.
  • Hands-on experience with LLMs, transformers, and Hugging Face ecosystem.
  • Knowledge and experience with vector databases and RAG technique for semantic search.
  • Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, Google Cloud Platform Vertex AI).
  • Understanding of MLOps practices for scalable AI deployment.
What You Will Be Doing
  • Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
  • Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
  • Strategically collaborate and consult with client personnel.
  • Design and implement Generative AI models for text, image, or multimodal applications.
  • Develop prompt engineering strategies and embedding-based retrieval systems.
  • Integrate Gen AI capabilities into web applications and enterprise workflows.
  • Build agentic AI applications with context engineering and MCP tools.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 878990
  • Posted 2 days ago
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